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<h4> Temporal Sorting </h4>
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<p> Temporal sorting is a way to compare the model's time course with the ICA 
time course. GIFT provides three ways of entering the regressors. The method of 
entering regressors is determined by the global variable 
METHOD_ENTERING_REGRESSORS in &quot;icatb_defaults.m&quot; file. The values for that 
variable are as follows: </p>

<ul>
<li> 'AUTOMATIC' - Regressors are pulled from 'SPM.mat' file. Session related 
regressors will be used for 'Different regressors for sessions' or 'Different 
regressors for subjects and sessions'.
</li>

<li> 'BATCH' - Regressors can be entered through a text file by specifying the 
path in TXTFILE_REGRESSORS variable. This way of entering the regressors is 
useful for large data-sets and each subject having a separate design matrix.
</li>

<li> 'GUI' - GUI will open to select the regressors. </li>
</ul>

<p> Select 'Temporal' option in <a target="_self" href="icatb_sorting_components.htm">
Sorting GUI</a> and use SPM design matrix for the model time course. Figure 2 
shows the sorted components using Multiple Linear Regression sorting criteria. 
Here right and left visual are selected as the model time courses (Figure 1) for 
the visuomotor task (See <a target="_self" href="icatb_appendix.htm"> 
Experimental Paradigms </a>). The time course window can be viewed in a separate 
<a href="icatb_expanded_view_tc.htm">figure </a>(Expanded view of time course) 
if clicked on the time course plot. Expanded view of time course window has 
features like 
<a href="icatb_event_average.htm">event average</a>, 
<a href="icatb_split_tc.htm">splitting time courses</a>, 
<a href="icatb_adjust_ica.htm">adjusting ICA time course</a> and Fast Fourier 
Transform.</p>

<p class="style1">Figure 1: Reference time courses</p>
<p class="style1"> <img src="images/icatb_model_timecourse.jpg"> </p>
<p class="style1"> Figure 2: Sorted components using temporal sorting </p>
<p class="style1"> <img src="images/icatb_temporal_sorting_MLR.jpg"> </p>

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